{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from concurrent.futures.process import ProcessPoolExecutor\n",
    "\n",
    "from pathlib import Path\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from lhotse import LilcomFilesWriter\n",
    "\n",
    "from lhotse.dataset.speech_synthesis import SpeechSynthesisDataset\n",
    "from lhotse.recipes.ljspeech import download_and_untar, prepare_ljspeech, feature_extractor, text_normalizer\n",
    "from lhotse import CutSet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Settings for paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "root_dir = Path('data')\n",
    "corpus_dir = root_dir / 'LJSpeech-1.1'\n",
    "output_dir = root_dir / 'ljspeech_nb'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Download and untar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "download_and_untar(root_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare audio and supervision manifests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ljspeech_manifests = prepare_ljspeech(corpus_dir, output_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extract features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "with LilcomFilesWriter(f'{output_dir}/feats') as storage, ProcessPoolExecutor(os.cpu_count()) as ex:\n",
    "    cut_set = CutSet.from_manifests(\n",
    "        recordings=ljspeech_manifests['recordings'],\n",
    "        supervisions=ljspeech_manifests['supervisions']\n",
    "    ).compute_and_store_features(\n",
    "        extractor=feature_extractor(),\n",
    "        storage=storage,\n",
    "        executor=ex\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text normalization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A simple text normalizer is provided in `lhotse.recipes.ljspeech`:\n",
    "\n",
    "```python\n",
    "from lhotse.utils import fastcopy\n",
    "\n",
    "def text_normalizer(segment: SupervisionSegment) -> SupervisionSegment:\n",
    "    text = segment.text.upper()\n",
    "    text = re.sub(r'[^\\w !?]', '', text)\n",
    "    text = re.sub(r'^\\s+', '', text)\n",
    "    text = re.sub(r'\\s+$', '', text)\n",
    "    text = re.sub(r'\\s+', ' ', text)\n",
    "    return fastcopy(segment, text=text)\n",
    "```\n",
    "\n",
    "You may want to replace the default TN with you own codes. If so, write a \"SupervisionSegment -> SupervisionSegment\" function and put it as the argument of the `map_supervisions` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "cut_set = cut_set.map_supervisions(text_normalizer)\n",
    "\n",
    "cut_set.to_json(output_dir / f'cuts.json.gz')\n",
    "ljspeech_manifests['cuts'] = cut_set"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make pytorch Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cuts_train = SpeechSynthesisDataset(ljspeech_manifests['cuts'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Token set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[' ', '!', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']\n"
     ]
    }
   ],
   "source": [
    "print(cuts_train.tokens)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Illustation of an example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample = cuts_train[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['I', 'N', ' ', '1', '8', '1', '3']\n"
     ]
    }
   ],
   "source": [
    "print(sample['tokens'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f7f76144430>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 554.4x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.matshow(sample['features'].transpose(0, 1).flip(0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Audios (for neural vocoder)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff9cc749c10>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(sample['audio'].transpose(0, 1))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}